(Ignore the small stuff. Please read the disclaimer that follows this post.)
The next six months finishing 2014 and starting 2015 should be significantly better than average for the stock market. At least, that is what my stock market forecasting models say.
Why are the models optimistic? It is mainly because there is room for the economy to improve: GDP is still below it's potential; construction activity remains subpar; unemployment and under employment are still too high; the chance of a recession is remote; and the Federal Reserve continues to apply low interest rates and massive amounts of newly created money.
Today was pretty grim for the U.S. stock market -- and there is nothing like a rotten day to make the forecasts coming from my stock market model brighter! When things are bad they can get better, but when all is well, the only way to go is down. A further drop in the next month or so is still likely.
Here is the model's stock market forecast for the tail end of 2014 and the start of 2015:
Probable market gain from 8/1/2014 to 2/1/2015: 8% (Average 6 months since 1984: 4.8%)
Probability of at least breaking even : 84% (Average for all months since 1984: 73%).
For the past year or so the stock market has been performing roughly 5% better than the models had forecasted. You can't complain about a strong market, but the model suggests that investor optimism has been building up and some sort of pullback remains likely. Beyond that the broader prospects for the U.S. stock market are better than average.
(Click on image to enlarge.)
(Disclaimer: Please do not pay much attention to these 6 month stock market forecasts until there is a great big forecast coming from the models that completely contradicts how the market is currently moving. When you feel the forecast is crazy, that is probably the time to give the models' forecasts some real consideration. Until then, not so much. The' noise' of normal market vibrations is probably greater than the 'signal' coming from economic fundamentals. Yes, the market can be very crazy in the short term and the models simply are not that accurate. The forecasting models presented here are not precise and the losses that come through high taxes on short term capital gains will kill any real gains coming through short term market maneuvers.)
Public real-time testing of a family of six month stock market forecasting models.
Thursday, July 31, 2014
Thursday, July 24, 2014
Three reasons the stock market may not peak before 2016 or 2017
Many commentators say today's stock market is seriously overvalued. I do not disagree, but three major factors indicate that the bull market will probably continue for well over a year, probably until 2016 or 2017.
First, the skeptics. Either the market cynics are right, or they are creating the greatest Wall of Worry that I have ever seen. There are many shouts of warning, but I will just point to two of them. Mark Hulbert at MarketWatch.com cites six factors that indicate the current market already is priced higher than the vast majority of prior market peaks. The factors are: price/earnings ratio; price to 10-year cycle price/earnings ratio; price/book ratios; price/sales ratio; Tobin's Q ratio; and relative dividend yield. Neil Irwin in the NY Times goes further, writing "Welcome to the Everything Boom, or Maybe the Everything Bubble." Few of the naysayers are pointing to an imminent market crash, instead they generally stress that high current valuations point to disappointing overall market growth over the next decade or so.
So, when will the over-priced stock market come crashing down? Hopefully, my stock market models will scream warnings a month to six months ahead of the eventual market collapse. Or, at least, hope of an early warning is the main reason I created forecasting models in the first place. In the meantime the models have not turned seriously pessimistic.
The economy still has not fully recovered from the Great Recession. As shown in the graph below Real Gross Domestic Product suffered the worst decline in several generations during the recession. It has been recovering, but it still has not equaled Real Potential GDP. The Congressional Budget Office has generated the Real Potential GDP calculation for many years and the match with actual GDP results has been incredible -- the Coefficient of Determination, R-Squared, is greater than .99! That is amazingly close. Maybe everything truly is different this time, but more likely, GDP will 'regress to the mean', reaching its potential before the next market crash. Increasing employment by increasing GDP, after all, is what the massive intervention of the Federal Reserve has been trying to accomplish.
Three things need to happen for GPD to reach potential: employment needs to increase, both for the unemployed and the millions of workers currently underemployed; business investment must rise.; and world trade needs to get back to normal, meaning that the rest of the world needs to recover from the recession as well. At best, it will take a couple of years before GDP (i.e. the economy) is back to normal performance. There is still plenty of slack in the economy leaving room for stock prices to grow.
(Click on image to enlarge.)
Interest rates need to rise 3% or more. The Federal Reserve and other central banks promote economic growth by lowering interest rates and increasing the money supply. Raising interest rates and limiting lending cools down the economy, often dramatically. The graph below shows the U.S. bank prime lending rate from 1950. The overall story of the graph is that raising interest rates by 3% to 5% above the previous low point is enough to slow the economy and bring on a recession.
Typically, the Federal Reserve takes a year or more to increase lending rates enough to slow the economy. Then, the impact of higher interest rates takes roughly a year before it shows in the real economy. The Fed already has indicated that it is unlikely to start increasing interest rates for another half year. Once the rate increase process has started it likely to proceed very, very slowly. Otherwise, trillions of dollars in outstanding long term loans will plummet in value, exposing the world to a financial crisis similar to 2007 - 2008. Overall, it seems unlikely that interest rates will increase in the next 2-3 years enough to slow the economy.
(Click on image to enlarge.)
Speculative fever needs to build. Margin Debt, is money that investors/speculators borrow from their brokers to use to buy more stock. As such, the Margin Debt level is a solid measure of investor optimism. Margin Debt has a long record of fairly steady increase as the total capitalization of stocks has increased. In fact, Margin Debt follows a path of simple compounding growth extremely closely. (R-squared = .99). But, the match with simple exponential growth is not perfect. The graph below shows New York Stock Exchange reports of margin loans, but the factor of steady growth over time has been removed. The result is a chart showing how margin levels at any point in time compare to the base value of regular steady growth. The general picture is that in the case of most significant market collapses, margin debt increases for a period of several years prior to a crash. The last few months usually see margin debt shooting up as speculation reaches frenzy levels. Generally, margin has grown to a level of 50% above trend before the speculative bubble bursts. Current levels of margin debt have not even reached the long term trend level. If the current market cycle is in any way typical, margin will increase for a couple of years or more before getting to a breaking level.
First, the skeptics. Either the market cynics are right, or they are creating the greatest Wall of Worry that I have ever seen. There are many shouts of warning, but I will just point to two of them. Mark Hulbert at MarketWatch.com cites six factors that indicate the current market already is priced higher than the vast majority of prior market peaks. The factors are: price/earnings ratio; price to 10-year cycle price/earnings ratio; price/book ratios; price/sales ratio; Tobin's Q ratio; and relative dividend yield. Neil Irwin in the NY Times goes further, writing "Welcome to the Everything Boom, or Maybe the Everything Bubble." Few of the naysayers are pointing to an imminent market crash, instead they generally stress that high current valuations point to disappointing overall market growth over the next decade or so.
So, when will the over-priced stock market come crashing down? Hopefully, my stock market models will scream warnings a month to six months ahead of the eventual market collapse. Or, at least, hope of an early warning is the main reason I created forecasting models in the first place. In the meantime the models have not turned seriously pessimistic.
The economy still has not fully recovered from the Great Recession. As shown in the graph below Real Gross Domestic Product suffered the worst decline in several generations during the recession. It has been recovering, but it still has not equaled Real Potential GDP. The Congressional Budget Office has generated the Real Potential GDP calculation for many years and the match with actual GDP results has been incredible -- the Coefficient of Determination, R-Squared, is greater than .99! That is amazingly close. Maybe everything truly is different this time, but more likely, GDP will 'regress to the mean', reaching its potential before the next market crash. Increasing employment by increasing GDP, after all, is what the massive intervention of the Federal Reserve has been trying to accomplish.
Three things need to happen for GPD to reach potential: employment needs to increase, both for the unemployed and the millions of workers currently underemployed; business investment must rise.; and world trade needs to get back to normal, meaning that the rest of the world needs to recover from the recession as well. At best, it will take a couple of years before GDP (i.e. the economy) is back to normal performance. There is still plenty of slack in the economy leaving room for stock prices to grow.
(Click on image to enlarge.)
Interest rates need to rise 3% or more. The Federal Reserve and other central banks promote economic growth by lowering interest rates and increasing the money supply. Raising interest rates and limiting lending cools down the economy, often dramatically. The graph below shows the U.S. bank prime lending rate from 1950. The overall story of the graph is that raising interest rates by 3% to 5% above the previous low point is enough to slow the economy and bring on a recession.
Typically, the Federal Reserve takes a year or more to increase lending rates enough to slow the economy. Then, the impact of higher interest rates takes roughly a year before it shows in the real economy. The Fed already has indicated that it is unlikely to start increasing interest rates for another half year. Once the rate increase process has started it likely to proceed very, very slowly. Otherwise, trillions of dollars in outstanding long term loans will plummet in value, exposing the world to a financial crisis similar to 2007 - 2008. Overall, it seems unlikely that interest rates will increase in the next 2-3 years enough to slow the economy.
(Click on image to enlarge.)
Speculative fever needs to build. Margin Debt, is money that investors/speculators borrow from their brokers to use to buy more stock. As such, the Margin Debt level is a solid measure of investor optimism. Margin Debt has a long record of fairly steady increase as the total capitalization of stocks has increased. In fact, Margin Debt follows a path of simple compounding growth extremely closely. (R-squared = .99). But, the match with simple exponential growth is not perfect. The graph below shows New York Stock Exchange reports of margin loans, but the factor of steady growth over time has been removed. The result is a chart showing how margin levels at any point in time compare to the base value of regular steady growth. The general picture is that in the case of most significant market collapses, margin debt increases for a period of several years prior to a crash. The last few months usually see margin debt shooting up as speculation reaches frenzy levels. Generally, margin has grown to a level of 50% above trend before the speculative bubble bursts. Current levels of margin debt have not even reached the long term trend level. If the current market cycle is in any way typical, margin will increase for a couple of years or more before getting to a breaking level.
Friday, June 27, 2014
Stock Market continues to beat forecasts
Six months ago my stock market forecasting models predicted that the first half of 2014 would be nearly flat -- just a 2% gain. Instead, the market (as measured by the broad based Value Line Arithmetic Index) rose a quite respectable 7%.
Why is the market beating the models' expectations? My best guess is that the it is perfectly clear to all that the Federal Reserve has no intention of letting the economy stall in the near term. So much the better! It looks like it will be a long time before the Fed takes the punch bowl away from this party.
My 6 month stock market forecast for the second half of 2014 is slightly more positive than last month. The prediction remains muted, a bit worse than the long term average.
Probable market gain from 7/1/2014 to 1/1/2015: 2% to 4% (Average 6 months since 1984: 4.8%)
Probability of at least breaking even : 65% (Average for all months since 1984: 73%).
For the past year most of the surprises have been positive, so I would not be surprised if that happened again.
(Click on image to enlarge.)
Why is the market beating the models' expectations? My best guess is that the it is perfectly clear to all that the Federal Reserve has no intention of letting the economy stall in the near term. So much the better! It looks like it will be a long time before the Fed takes the punch bowl away from this party.
My 6 month stock market forecast for the second half of 2014 is slightly more positive than last month. The prediction remains muted, a bit worse than the long term average.
Probable market gain from 7/1/2014 to 1/1/2015: 2% to 4% (Average 6 months since 1984: 4.8%)
Probability of at least breaking even : 65% (Average for all months since 1984: 73%).
For the past year most of the surprises have been positive, so I would not be surprised if that happened again.
(Click on image to enlarge.)
Wednesday, June 18, 2014
Did these models correctly forecast major bear markets?
The U.S. stock market suffered major pullbacks in 1987,
1990, 1998, 2001, and 2007. This post
looks subjectively at how well my forecasting models previewed those market traumas and the
subsequent market recoveries. They did surprisingly well with the possible exception of the brief 1990 decline.
(Note that the model forecasts for 2007-2009 were made in real time, but earlier dates are evaluated with back-testing data. Also, the market data below refers to market prices at the start of the month and may not match exact market highs and lows that appear in daily market data.)
2007-2009 The Great
Recession
(Note that the model forecasts for 2007-2009 were made in real time, but earlier dates are evaluated with back-testing data. Also, the market data below refers to market prices at the start of the month and may not match exact market highs and lows that appear in daily market data.)
1987 Crash – A big
win for the model
On “Black Monday” October 10, 1987, world stock markets
crashed. The Dow Jones Industrial Average lost 22% in one day. Though most of the crash happened in a few
days during mid-October, markets had started to roll over as early as August and
damage continued into November. All
told, the S&P 500 lost 24% from August through November and the Value Line
Arithmetic Index (VALUA) lost 31%.
As shown in the chart below, my stock market forecasting model
turned sharply negative in March 1987 – seven months before the main crash. During
those spring months of 1987, markets were soaring, reaching one new high after
another, but the model, correctly, saw major storm clouds forming. Then, with the market still crashing in the darkest days of October and
November, the 6-month forecasting model turned strongly positive, correctly foretelling the market rebound.
(Click on image to enlarge.)
1990 – Missed the
correction, caught the rebound
From May through October, 1990 the S&P 500 lost 15% and
VALUA lost 24%. The forecasting model
was issuing weak forecasts prior to the sharp correction, but it did not
foresee the scale of the correction. On
the other hand, the models did accurately forecast the remarkably rapid market
recovery.
1998 correction
During the short lived market correction from April through
August 1998, the S&P 500 lost 15% and VALUA lost 24%. The models issued
forecasts in March and April of 7% to 8% losses in the months ahead. The actual losses that followed were
approximately twice as bad as forecasted.
The models got the timing of the subsequent market correction correct,
but underestimated the 6-month market gains.
(Click on image to enlarge.)
2000 – 2002 Dot Com
Bubble
The DotCom Bubble was a speculative buying binge focused on
technology stocks – not the entire market.
In total the NASDAQ Composite fell by 78%, the S&P 500 by 46%, but
the VALUA suffered only a 20% drop initially.
While the NASDAQ drop was nearly continuous from 2000 to 2002, the VALUA
had a rebound through 2001 followed by another 26% drop in 2002 as the U.S.
real economy fell into recession.
As shown in the chart above, the models’ forecasts generally matched the timing of the double-decline of VALUA during the period. The model did not expect
the 2001 rebound to be as strong as it was and did not expect the second dip in
2002 to be as bad as it turned out to be. Overall, the model predicted the
timing and direction of the VALUA fairly well.
Stock markets worldwide were traumatized by a series of
financial panics and steep recessions.
Between October, 2007 and February, 2009 both the S&P 500 and VALUA
lost 52%. The collapse started slowly with the bulk of the market destruction
occurring in late 2008 and very early 2009. Overall, the model forecasted the
market well. It issued weak
forecasts through 2007, but by April 2008 it was forecasting a massive 25%
decline in the market, well before the steep part of the decline actually
began. Likewise, in early 2009 while the market was in the steepest part of the crash, the model issued dramatic positive forecasts for the coming months,
forecasts that accurately predicted the subsequent rebound of the market.
(Click on image to enlarge.)
Summary
Though the stock market models’ forecasts of these major market disruptions were far from
perfect, except for the correction of 1990, they did anticipate the correct timing and general
magnitude of the severe market corrections and their following
recoveries.
A lesson to learn from this review, however, is that the models truly are future oriented. They do not have much value in assessing how the stock market will behave in the next few weeks. (In August you know that the weather is going to get cold by January, but that is no reason to put on your winter coat in August.) In general, the models start warning of market disasters months before actual destruction occurs, and they get highly optimistic months before markets finish their crash phase.
Thursday, May 29, 2014
Stock Market Probably Flat Through November
My econometric models for the U.S. stock market for the second half of 2014 do not expect any significant change between June, 2014 and the end of November, 2014. The models forecast that the market will perform like a typical summer period -- maybe a minor loss and somewhat worst than average chance of at least breaking even. The good news is that this is a slightly better forecast than the models made at the start of May.
The stock market models might as well just suggest that we take a summer vacation and pay attention to other things in life.
Probable market gain from 6/1/2014 to 12/1/2014: -1% (Average 6 months since 1984: 4.8%)
Probability of at least breaking even : 50% to 58% (Average since 1984: 73%).
(click on image to enlarge)
The market models are a mathematical expectation that the U.S. stock market will react as it typically does to changing economic conditions. When the forecasts are drastically off, that's a strong sign that something else -- perhaps some sort of 'black swan' -- is moving the market.
Based on the difference between the forecasts and reality for the past half year or so, it doesn't appear than anything strange has been in play. In the most recent completed 6 month period, the models expected the market to start cooling off. Back in December the models forecasted a 6% increase for the Value Line Arithmetic Index by June 1, and the actual performance was a 4% gain. Pretty close.
The market is moving into the summer months making it probable that the market will weaken mildly.
The stock market models might as well just suggest that we take a summer vacation and pay attention to other things in life.
Probable market gain from 6/1/2014 to 12/1/2014: -1% (Average 6 months since 1984: 4.8%)
Probability of at least breaking even : 50% to 58% (Average since 1984: 73%).
(click on image to enlarge)
The market models are a mathematical expectation that the U.S. stock market will react as it typically does to changing economic conditions. When the forecasts are drastically off, that's a strong sign that something else -- perhaps some sort of 'black swan' -- is moving the market.
Based on the difference between the forecasts and reality for the past half year or so, it doesn't appear than anything strange has been in play. In the most recent completed 6 month period, the models expected the market to start cooling off. Back in December the models forecasted a 6% increase for the Value Line Arithmetic Index by June 1, and the actual performance was a 4% gain. Pretty close.
The market is moving into the summer months making it probable that the market will weaken mildly.
Thursday, May 1, 2014
May 2014 Forecast -- A small step down
The summer months are here and the forecasting model expects the U.S. stock market to perform distinctly below average, declining slightly from May through October 2014.
Probable market gain from 5/1/2014 to 11/1/2014: -3% (Average since 1984: 4.8%)
Probability of at least breaking even : 46% to 57% ( Average since 1984: 73%).
(Click on image to enlarge.)
For the most recent completed forecasting period, September through April, the model did well. It had forecasted an 8% gain in the market (measured via the Value Line Arithmetic Index) while the actual gain was 6%. For the past year the market has generally turned in better than forecasted gains.
Hopefully that strong relative market performance will continue. Unfortunately, in the past few months the market has stalled as the model had expected. The overall market has been flat, but the key technology and cyclic sectors have turned south.
Probable market gain from 5/1/2014 to 11/1/2014: -3% (Average since 1984: 4.8%)
Probability of at least breaking even : 46% to 57% ( Average since 1984: 73%).
(Click on image to enlarge.)
For the most recent completed forecasting period, September through April, the model did well. It had forecasted an 8% gain in the market (measured via the Value Line Arithmetic Index) while the actual gain was 6%. For the past year the market has generally turned in better than forecasted gains.
Hopefully that strong relative market performance will continue. Unfortunately, in the past few months the market has stalled as the model had expected. The overall market has been flat, but the key technology and cyclic sectors have turned south.
Saturday, April 19, 2014
Possibly the best free stock market valuation guide
The Morningstar.com Market Fair Value graphs , updated daily since 2001, provide an objective assessment whether the U.S. stock market is over-priced or underpriced. What's more, there is no charge to view the graphs and they appear to have a remarkable track record.
Morningstar. com describes their proprietary Fair Value assessments as follows:
" At Morningstar, our analysts estimate a company's fair value by determining how much we would pay today for all the streams of excess cash generated by the company in the future. We arrive at this value by forecasting a company's future financial performance using a detailed discounted cash-flow model ... that factors in projections for the company's income statement, balance sheet, and cash-flow statement. The result is an analyst-driven estimate of the stock's fair value."
The Morningstar.com Market Fair Value graph sums up the individual company ratings several ways:
(Click on image to enlarge. Copyright Morningstar.com)
Morningstar. com describes their proprietary Fair Value assessments as follows:
" At Morningstar, our analysts estimate a company's fair value by determining how much we would pay today for all the streams of excess cash generated by the company in the future. We arrive at this value by forecasting a company's future financial performance using a detailed discounted cash-flow model ... that factors in projections for the company's income statement, balance sheet, and cash-flow statement. The result is an analyst-driven estimate of the stock's fair value."
The Morningstar.com Market Fair Value graph sums up the individual company ratings several ways:
- All rated stocks
- Sector
- Super sector
- Industry
- Fair value uncertainty
- Index (NYSE, NASDAQ)
Subscribe to:
Posts (Atom)










